Mid/Senior Data Engineer (Databricks)
E
ExerizonTechnology consulting
Pracuj z dowolnego miejsca w Polsce.ContractSenior
Salary not disclosed
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Job Details
- Languages
- Polish
- Experience
- 2–4 lata (mid) lub 4+ lat (senior)
- Required Skills
- PostgreSQLPythonSQLGitMicrosoft SQL ServerOracleData modelingdbtDatabricks
Requirements
- 2–4 years of experience (mid level) or 4+ years (senior level).
- Strong proficiency in the Databricks platform.
- Strong knowledge of SQL and Python.
- Experience with at least one database engine: Oracle, PostgreSQL, or MS SQL.
- Strong knowledge of data warehousing foundations, including ETL processes and layered architectures.
- Experience with data modeling techniques (Kimball, Data Vault).
- Knowledge of data testing approaches and tools like dbt tests or Great Expectations.
- Understanding of data lineage and data cataloging concepts.
- Practical knowledge of process orchestrators such as Airflow, Dagster, or dbt.
- Foundational knowledge of Azure or AWS in the context of data processing.
- Proficiency with Git version control.
- Ability to create technical documentation.
Responsibilities
- Design and build data solutions for key market players.
- Develop and maintain Data Lake and Data Lakehouse architectures.
- Execute data migration projects supported by AI.
- Automate repetitive tasks to focus on complex data engineering challenges.
- Collaborate on the development and strategic direction of the data team.
- Create and maintain technical documentation for implemented solutions.
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